51 results about "Electricity infrastructure" patented technology

The invention provides an electric power infrastructure construction progress self-adaptive scheduling method based on digital twinning. The method comprises the steps that a construction progress digital twinning model is constructed according to preset historical data and construction data fed back in real time on a construction site; predicting a construction progress trend based on the construction progress digital twinborn model to obtain construction progress prediction data; performing construction safety assessment according to the construction progress prediction data in combination with uncertainty of human factors, a construction process and environmental conditions to obtain a construction safety assessment result; designing an adaptive scheduling method according to the construction safety evaluation result and the construction progress prediction data to optimize a construction progress scheduling scheme; performing iterative optimization on the optimized construction progress scheduling scheme by using an optimization algorithm to obtain an optimal scheduling scheme; and applying the optimal scheduling scheme to actual construction management. According to the method, the adaptive scheduling algorithm is combined with the digital twinborn model, so that intelligent progress management in power infrastructure construction can be realized.

The invention discloses a settlement sensor based on a sensitization structure and a measuring method, the sensor comprises a settlement sensor shell, the sensitization structure and a Fabry-Perot interference cavity, the sensitization structure and a transmission optical fiber are fixed at the top in the settlement sensor shell, and the optical fiber is not in contact with the sensitization structure; a floater is fixed at the bottom of the sensitization structure and is inserted into the liquid; the reflector at the top of the floater serves as a second reflection point, the end face of the optical fiber serves as a first reflection point, and a Fabry-Perot interference cavity is formed between the two reflection points; when the settlement amount changes, the liquid level in the settlement sensor changes, the buoyancy applied to the floater changes, the sensitization structure deforms after being stressed, the length of the Fabry-Perot interference cavity is changed, and the displacement distance of the second reflection point is measured through the Fabry-Perot interference cavity, so that the liquid level change amount and the settlement amount are determined. The method has the advantages of being high in measurement precision, good in long-term stability, free of electromagnetic interference and the like, and is suitable for settlement monitoring of electric power infrastructures, including differential settlement of structures such as pipe galleries and hydropower stations.

The invention relates to the technical field of energy scheduling, and discloses a centralized smart energy load regulation and control system based on a public building, which comprises a power supply unit, a central control unit, a data acquisition unit, a scheduling execution unit and an equipment classification unit, the central control unit comprises a data processing module and an energy consumption demand prediction module. By classifying the equipment and evaluating the energy efficiency, the energy consumption characteristics and efficiency levels of different equipment can be clearly known, an accurate regulation and control strategy can be formulated for each category, the equipment with low energy efficiency can be emphatically optimized, the overall energy utilization efficiency can be improved, demand prediction is carried out by virtue of previous energy consumption data, the regulation and control are more prospective, and the energy efficiency of the equipment is improved. The energy consumption trend of different time periods and seasons can be predicted in advance, so that excessive investment on electric power infrastructures is avoided, the electric power cost is saved, limited electric power resources are preferentially allocated to key equipment and important areas, and optimal allocation of the resources is realized.

The invention discloses a cement-based telegraph pole defect detection method based on big data analysis, and the method comprises the steps: arranging a distributed optical fiber sensing network to collect the stress data of a target telegraph pole, and obtaining a stress feature set through denoising and feature extraction; constructing a structure damage feature library based on the attributes of the telegraph pole and the material characteristics, and screening key damage features through a self-adaptive matching threshold value; and in combination with concrete carbonization characteristics and steel bar corrosion characteristics, carrying out weighted analysis by adopting a multi-modal fusion model and an attention mechanism, and outputting an optimally matched defect detection result. According to the method, through multi-source data fusion and dynamic threshold optimization, the recognition precision of typical damages such as cracks and spalling is remarkably improved, a graded early warning and maintenance scheme can be automatically generated according to a detection result, and intelligent monitoring and operation and maintenance of the health state of the telegraph pole are achieved; the method has the characteristics of high detection accuracy and strong environmental adaptability, and is suitable for long-term safety monitoring of the electric power infrastructure.

Operators typically utilize techno-economic means to set peak power demand in power infrastructure sites, such as power depots and microgrids. However, conventional means tend to either produce sub-optimal values of peak power demand or be too computationally expensive to be performed in a real-time or scalable manner. Accordingly, disclosed embodiments utilize a sliding time window to continuously or periodically determine peak power demand in past, current, and future portions of a current time period. These embodiments are able to determine an optimal peak power demand for the current time period, while remaining computationally feasible for real-time performance and being scalable with the complexity of optimization.

The invention provides an intelligent power grid material distribution planning method based on three-dimensional encasement, and designs a space dimension reduction method and a heuristic evolutionary algorithm in combination with the problems of wide material distribution of an electric power system and the vehicle space utilization rate in the transportation process. The problem of power infrastructure material distribution optimization under the constraint of three-dimensional boxing is solved. According to the method, through adaptive expansion and a virtual boxing technology, the method can better adapt to power equipment of various different shapes, sizes and weights. Meanwhile, according to the method, the distribution time is shortened and the distribution efficiency is improved by optimizing the distribution route, so that the distribution cost is reduced and the operation efficiency of the power system is improved. In addition, the cargo stability is considered in detail in the process of designing the boxing operator and heuristic evolution, and the cargo safety in the distribution process is guaranteed. In general, the invention provides an effective, efficient and intelligent power system material distribution planning scheme.

The invention belongs to the technical field of 5GMEC deployment, and relates to a 5GMEC deployment platform based on power business characteristics. The deployment platform comprises an MEC three-level cloud edge collaboration architecture, a UPF collaboration mechanism, an electric power facility fusion module, a safety protection system and a service distribution strategy. The MEC three-level cloud edge collaborative architecture is a layered architecture composed of an access layer, an edge layer and a center layer. The UPF collaboration mechanism realizes priority scheduling of three types of services through network slice identifiers; the electric power facility fusion module physically fuses the MEC node and the electric power infrastructure; the security protection system adopts a layered defense mechanism to perform multi-dimensional threat coverage; according to the service distribution strategy, classification processing is carried out on power services based on 5G network slices, and local traffic unloading and non-local traffic return are realized. According to the invention, flexible deployment and configuration can be carried out according to power business requirements, and the matching degree with power grid business requirements is high; management is autonomous and controllable, a security management strategy is customized, illegal access is prevented, and service transmission security is enhanced.

The invention relates to the technical field of settlement sensors, in particular to a settlement sensor based on optical fiber Fabry-Perot interference and a measuring system and method.The settlement sensor comprises a settlement sensor shell, an L-shaped cantilever beam structure and a Fabry-Perot interference cavity, and an L-shaped cantilever beam and the Fabry-Perot interference cavity are arranged in the settlement sensor shell; one end of the optical fiber and one end of the cantilever beam are fixed on a shell of the settlement sensor; when the settlement amount is changed, the liquid level in the settlement sensor is changed, so that the length and the buoyancy which submerge the floater are changed, the cantilever beam is stressed and bent to cause the reflector fixed above the cantilever beam to move, and the displacement distance of the reflector is measured through the Fabry-Perot interference cavity, so that the liquid level change amount and the settlement amount are determined. The device has the advantages of being high in measurement precision, good in anti-fatigue performance, long in service life, free of electromagnetic interference and the like, and is suitable for settlement monitoring of electric power infrastructures, including differential settlement of structures such as pipe galleries and hydropower stations.

The present invention discloses a method and system for co-construction and sharing of power infrastructure in 5G to support power transmission and distribution, including: using a unified resource modeling module to model and associate resources on the operator side and the power side; the power resource management module provides a full-view list of resources for co-construction and sharing of the entire power grid to power grid management personnel based on the model and resource library provided by the unified resource modeling module; based on the full-view list of resources, the external enterprise demand management module provides information and demand query and registration to external enterprises through an open interface. The present invention optimizes the addressing process, accurately matches demand, increases the speed of co-construction and sharing, improves efficiency, and effectively promotes the matching of 5G and power demand; provides a 5G-based real-time backhaul method for the transmission mode of drones; based on the matching of operator signal quality and power resources, flexibly carries out site planning according to the needs of specific power consumption services, and provides a specific business optimization method based on 5G.

Systems and methods for enabling infinite wireless charging of unmanned aerial systems (UASs) are provided. A UAS detects sources of power and wirelessly charges itself by collecting ambient electromagnetic energy from a power infrastructure. A UAS in accordance with features and aspects described herein is autonomous, may always be wirelessly charged (e.g., with high induced voltage), and can make use of weak energy. Moreover, various charging techniques can be used, such as in-flight, trickle, perching, and / or parking. Dynamic flight is supported using multi-angle MIMO coils. Additionally or alternatively, faster charging can be achieved with a supercapacitor and slower charging can be achieved with a battery.

Variants of the system includes an industrial facility, job scheduling services, and a set of control agents configured to manage power and cooling resources. The method includes determining a current system state, optionally predicting a future system state, determining control setpoints, and controlling the facility based on the setpoints. In a data center implementation, the control agents receive physical state information from infrastructure components and job data from the job scheduling services. Using this information, the control agents predict future power and heat loads associated with scheduled compute jobs. The predictions are generated by a state approximator. Based on the predicted resource demands, the control agents determine control setpoints for cooling and power infrastructure components. The job scheduling services can allocate, delay, or reschedule jobs based on predicted thermal and power constraints.

The invention discloses a text mentioning and classifying method based on improved BERT-WWM. The method comprises the following steps: collecting power infrastructure text data; constructing a BERT-WWM model, introducing sparse attention to replace multi-head self-attention in the BERT-WWM model, and adaptively adjusting a mask proportion in the sparse attention to obtain an improved BERT-WWM model; training the improved BERT-WWM model by adopting the data set, and optimizing parameters of the improved BERT-WWM model at the same time, so as to obtain an optimized improved BERT-WWM model; inputting power infrastructure text data to be classified into the optimized improved BERT-WWM model to obtain a classification result; according to the method, through the uniquely designed and optimized improved BERT-WWM model, the classification accuracy and the processing efficiency of the power system engineering text are remarkably improved.

The application discloses a kind of urban water and electricity infrastructure protection resource configuration method, equipment and storage medium, it is related to urban water and electricity failure analysis and resource configuration field, comprising: determining the failure ratio of upstream node, whether it is failure state based on failure ratio determination;In the case of being not failure state, the water depth of node to be analyzed is determined according to water depth variation model;When water depth is greater than water depth threshold, the target failure probability of node is determined based on water depth and target failure probability model;The random value of node is generated by Monte Carlo simulation method, whether node is failure state is determined again based on target failure probability and random value;If still not failure state, whether it is failure state is further determined based on random failure probability;System reliability result is determined based on the state of node, and node is protected by resource configuration based on protection resource configuration strategy, water and electricity infrastructure failure analysis and protection resource configuration are realized.

The present invention discloses a power precise load control communication guarantee system and method based on 5G slicing, including a power precise load control service SLA perception module, a power precise load control slice template design and instantiation module, a power precise load control slice deployment and operation module, and a power precise load control slice optimization and coordination module. Among them, the power precise load control service SLA perception module determines the network status index according to the service demand; the power precise load control slice template design and instantiation module matches resources according to the slice demand, creates an end-to-end slice template and instantiates it; the power precise load control slice deployment and operation module deploys the instantiated slice to the power 5G infrastructure for operation; the power precise load control slice optimization and coordination module optimizes and adjusts the virtualized resources and network parameters of the slice deployment. The present invention can improve the support and guarantee capabilities of the power 5G for precise load control services and low-latency, high-reliability, and high-security uRRLC power services.

The invention, which belongs to the technical field of carbon emission data processing, relates to a logistics carbon footprint tracking method for an electric power infrastructure fabricated component, comprising a global positioning terminal, an RFID read-write device, an RFID tag and a logistics carbon footprint accounting and display platform. The global positioning terminal is used for monitoring transportation carbon emission tracking data, and the RFID tag and the RFID read-write device are used for storing, writing or reading data such as component production carbon emission tracking data of a component; the logistics carbon footprint accounting and display platform is internally provided with a transportation accounting formula and an abnormity alarm algorithm. The system has dual functions of carbon footprint tracking and logistics asset tracking. Through real-time display and alarm functions, logistics assets and carbon footprints of the fabricated components are tracked, and when abnormity in the transportation process is found, an alarm is given, so that assets and carbon emission management of the fabricated components is facilitated.

The present invention discloses a power supply network, system, and server, relating to the field of power supply and designed to address the current problem of high power losses during server operation. The power supply network distributes power conductors across multiple areas of a printed circuit board, with the resistance of the power conductors being lower than that of the power lines in the motherboard. This design aims to reduce power losses during transmission and improve power supply efficiency. Furthermore, voltage management is implemented to achieve more efficient power transmission with lower power losses, thereby reducing heat loss and energy waste in the server during power transmission and improving server power supply efficiency. This reduces overall energy consumption in the data center where the server resides during high-load operation, helping to alleviate pressure on power infrastructure.

This invention discloses a method and system for energy consumption analysis of highway power equipment based on smart gateways. The method includes: acquiring power equipment operation data collected by smart gateways deployed at multiple nodes along the highway; identifying operational energy consumption correlation characteristics corresponding to each smart gateway based on a preset correlation model; predicting the gateway area risk corresponding to each smart gateway based on the operational energy consumption correlation characteristics using a prediction model; and performing energy consumption structure analysis on the highway and identifying abnormal energy consumption data based on the gateway area risk, thereby outputting operational management suggestions for the power equipment. Therefore, this invention can achieve digital monitoring and risk warning of the operational status of highway power infrastructure, thus providing scientific decision-making suggestions and data support for the precise operation and management of power equipment.

The utility model discloses a reinforcing steel bar anchoring type pile head adjusting device, and belongs to the technical field of box transformer substation foundations. The reinforcing steel bar anchoring type pile head adjusting device comprises a circular pipe, a circular top plate, a bottom plate and adjusting bolts, the bottom plate is installed in the circular pipe, the adjusting bolts are installed in the circumferential direction of the bottom plate and correspond to the top of a pipe pile, the circular top plate is installed at the top of the circular pipe, and the circular top plate is eccentrically arranged relative to the circular pipe. The circular top plate is provided with an opening corresponding to the pipe pile, and the diameter of the opening is smaller than the outer diameter of the pipe pile. The device provided by the utility model is suitable for being used in electric power infrastructure adopting a box transformer substation foundation.

The invention provides a method and a system for optimizing electric power infrastructure based on low-altitude economic electricity consumption, which are characterized in that multi-source electricity consumption data (low-altitude manufacturing industry electricity consumption, low-altitude flight electricity consumption and low-altitude guarantee electricity consumption) are fused, so that scientific parameter support is provided for planning and operation of the electric power infrastructure; and meanwhile, by virtue of the specific time sequence dependence of the long-short-term memory network, the forward movement of the predicted weight in the time dimension is realized, so that the weight prediction accuracy is improved. Besides, the low-altitude economic electricity consumption is combined with the power grid safe and stable operation constraint condition of the to-be-measured area, so that the cooperative management of the low-altitude economy and the power grid output quality of the power foundation arrangement in the to-be-measured area is realized, and the optimization accuracy of the power infrastructure in the next time period can be further improved. Therefore, the planning and operation cost of the power infrastructure can be accurately adjusted and optimized.

Electric vehicle supply equipment (EVSE) in an electric vehicle (EV) station may be controlled to charge an electric vehicle according to a scheduled departure time of the electric vehicle. However, interference and other uncertainties may accidentally change the power required for charging for any given period of time. The disclosed embodiments utilize an energy reserve distribution associated with a power infrastructure asset as a constraint in an optimization model to prevent the optimization from excessively relying on the last charge while still providing the optimization model with flexibility to balance competitive goals in a fast and scalable manner. Each energy reserve distribution may reduce energy available to the associated power infrastructure assets over time by increasing energy reserve over time.

Variants of the system includes an industrial facility, job scheduling services, and a set of control agents configured to manage power and cooling resources. The method includes determining a current system state, optionally predicting a future system state, determining control setpoints, and controlling the facility based on the setpoints. In a data center implementation, the control agents receive physical state information from infrastructure components and job data from the job scheduling services. Using this information, the control agents predict future power and heat loads associated with scheduled compute jobs. The predictions are generated by a state approximator. Based on the predicted resource demands, the control agents determine control setpoints for cooling and power infrastructure components. The job scheduling services can allocate, delay, or reschedule jobs based on predicted thermal and power constraints.

A method and system for matching a power infrastructure model to measured data is disclosed. The method comprises receiving a power infrastructure model comprising a plurality of model points indicating estimated positions of entities of the power infrastructure. The method further comprises receiving measured data comprising a plurality of measured points indicating actual positions of entities of the power infrastructure. The method further comprises determining at least one matching pair of points between the plurality of model points and the plurality of measured points. The method further comprises generating a revised model by deforming the power infrastructure model based on the at least one matching pair of points. The system includes one or more processors and a computer readable medium for performing the method. Unlocking insights from Geo-Data, the present invention further relates to improvements in sustainability and environmental developments: together we create a safe and liveable world.

Optimization of independently operating power infrastructure sites, such as electric vehicle (EV) bins, may result in sub-optimal operation across multiple power infrastructure sites. The disclosed embodiments aggregate, across one or more criteria, a plurality of power infrastructure sites (which can be optimized as a single unit) that support flexible loads into a virtual site model that represents a multi-tenant charging formation system, to maximize utilization of infrastructure assets and provide robustness against uncertainties during operation of power infrastructure sites, while minimizing energy costs. When applied to an EV bin, embodiments may mitigate or reduce delays in operation of an EV fleet.

A system for detecting an event in an electrical infrastructure is disclosed. The system includes a plurality of monitoring stations configured to monitor signals from electrical equipment to detect one or more events associated with the electrical equipment. The monitoring stations are spaced at intervals along the electrical infrastructure. The system further includes a processor configured to analyze the detected events to obtain information regarding at least one of location, character and severity of each event associated with the electrical equipment, and output the obtained information.

The invention relates to an aerodynamic autorotation generator, and aims to provide a renewable energy power generation device which is efficient, stable and low in maintenance cost. The generator is driven by power generated by air flow to generate electricity through a specially-made air rotation mechanism. The key innovation points of the invention comprise optimization of the design of a rotation mechanism to improve the energy conversion efficiency, introduction of an intelligent control system to realize substantial improvement of the equipment operation stability, and adoption of a high-strength transmission part to reduce the maintenance cost. In addition, the device has the advantages of simple structure, convenience in operation, wide application range and the like, and is particularly suitable for places such as remote areas, islands and the like lacking traditional power infrastructures.

The invention relates to the technical field of electric power infrastructures, in particular to a light thin-wall assembly type cable trench, and solves the problems that an existing assembly type cable trench is prefabricated and assembled in sections during application, the cable trench is inconvenient to transport and assemble by breaking up the whole into parts, and the cable trench wall thickness is too large during assembly, so that the dead weight is large, and the cable trench is inconvenient to transport. And the splicing part of the cable trench and the interior of the trench are inconvenient to seal. A light thin-wall assembly type cable trench comprises a thin-wall combined trench mechanism and a separation sealing cover mechanism, the upper end of the thin-wall combined trench mechanism is provided with the separation sealing cover mechanism, the thin-wall combined trench mechanism comprises a first combined trench, and one side of the first combined trench is provided with a second combined trench. According to the invention, through carrying out plate connection and segmented assembly on the cable trench, the transportation and assembly difficulty can be effectively reduced, meanwhile, the wall thickness is controlled, the production cost can be reduced, the assembly splicing part can be sealed, and the spreading of water seepage and accumulated water of the cable trench is avoided.

The invention discloses a power system network security check automatic identification method, which comprises the following steps: S1, sensing the dynamic change of a power system network topology in real time through a self-adaptive dynamic topology sensing module, accurately identifying boundary equipment, and laying a foundation for subsequent security check; s2, dynamically associating a multi-dimensional risk assessment module; s3, optimizing an intelligent decision engine module through multiple targets; and S4, a visual interaction and emergency linkage module is adopted. According to the method, the automation and intelligence level of network security check of the power system is remarkably improved, breakthrough innovation is particularly achieved in the aspects of dynamic topological response, multi-type attack collaborative evaluation and multi-target decision optimization in a complex power grid environment, and the method has wide market application prospects and is worthy of popularization and application. The method can be widely applied to network security protection of key power infrastructures such as 500kV and above hub substations, regional power dispatching centers, new energy power stations and the like.

The invention discloses a full-process digital water and electricity intelligent infrastructure management system, relates to the technical field of water and electricity infrastructure management, and provides the following scheme that the system comprises a data acquisition layer which serves as a data acquisition and operation entrance of the system and provides basic hardware support for full-process management; and the data storage layer is used for carrying out unified storage, cleaning and sharing functions of whole-process data. According to the invention, the problem of traditional hydroelectric infrastructure management pain points is solved, a five-layer architecture and an intelligent algorithm are used, the data layer realizes full-scene acquisition and mixed storage, and data accuracy, completeness and safety are guaranteed; the processing layer fuses BIM and data, visually presents and improves information acquisition efficiency, covers the whole life cycle in business, manages and controls progress, quality, safety and resources in real time in the construction stage, realizes equipment predictive maintenance, energy consumption optimization and emergency response acceleration in the operation stage, adapts to multi-role interaction, obviously reduces cost and efficiency, reduces labor and resource waste, shortens the construction period, and improves the efficiency of construction. And digital transformation of hydroelectric capital construction is promoted.

The invention discloses an anti-corrosion method and an anti-corrosion system for a transmission tower. The method comprises the following steps: acquiring a potential signal and anode information of an auxiliary anode; constructing model input data at least based on the potential signal and the anode information; according to the model input data, calling a pre-trained neural network to determine optimal anti-corrosion potential information; according to the optimal anti-corrosion potential information, the potential output module is controlled to adjust the current output by the positive electrode of the potential output module, so that the adjusted current is the optimal protection current matched with the optimal anti-corrosion potential information, and efficient anti-corrosion of the tower can be achieved; therefore, the service life of the transmission tower can be prolonged, and safe operation of electric power infrastructure is guaranteed.

A protective device for reducing the possibility of accidental electrical discharges to a fish tape during use may include a coupler portion configured to be releasably coupled to a connector of an electrical enclosure of electrical infrastructure, and a shield portion configured to receive a free end and end portion of the fish tape from conductive contact with elements in the electrical enclosure, with the shield portion being releasably attached to the coupler portion. A system including various elements of the electrical infrastructure, and a method of utilizing the protective device in the infrastructure, are also disclosed.